CN115496418A - Intelligent agricultural product transaction system based on FRID technology - Google Patents
Intelligent agricultural product transaction system based on FRID technology Download PDFInfo
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Abstract
The invention relates to the technical field of agricultural product transaction, and particularly discloses an intelligent agricultural product transaction system based on FRID technology, which comprises a planting end and a control end, wherein the planting end is used for generating a planting model; the method comprises the steps of obtaining growth information of plants at regular time, and updating a planting model in real time according to the growth information; wherein, the updated planting model contains quotation information corresponding to each plant; receiving a processing instruction containing an index tag sent by a user side, and generating a planting task; and the user side is used for interacting with the user. On one hand, the method generates a planting model according to planting information of a planting party, then obtains the growth condition of each plant in real time, determines quotation information, and updates the planting model in real time; on the other hand, the planting model is displayed for the user, remote planting service is provided for the user based on the planting model, the participation degree of the user is greatly improved, the agricultural product transaction mode is greatly innovated, and the popularization and the use are convenient.
Description
Technical Field
The invention relates to the technical field of agricultural product transaction, in particular to an intelligent agricultural product transaction system based on FRID technology.
Background
The 'Internet + agriculture' is an innovation of a production mode, an industrial mode and an operation means, and has a profound influence on agricultural industry links such as agricultural production, operation, management and service through means of convenience, real-time, internet of things, intellectualization and the like, so that new power is provided for agricultural modernization development. The method takes 'Internet + agriculture' as a drive, is beneficial to developing intelligent agriculture, fine agriculture, high-efficiency agriculture and green agriculture, improves the agricultural quality benefit and competitiveness, and realizes the transformation from traditional agriculture to modern agriculture.
Although the concept is provided five or six years ago, the concept is still a tuyere at present, most of the existing intelligent agricultural products are purchased on the internet in the sales process, and actually, with the development of network technology, especially the breakthrough of China to 5G technology, the 'internet + agriculture' mode of the people can be further developed, namely, users are made to participate in the production link of the whole agricultural products; therefore, how to improve the participation of the user in the agricultural product transaction process on the basis of the existing network technology is a technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The invention aims to provide an intelligent agricultural product transaction system based on FRID technology to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent agricultural product transaction system based on FRID technology, the system comprising:
the planting terminal is used for receiving the planting area and the planting information uploaded by a planting party and segmenting the planting area according to the planting information; acquiring personal information of a planting party, numbering each plant according to the personal information and the segmentation result, and generating a planting model; acquiring growth information of plants at regular time, and updating the planting model in real time according to the growth information; wherein, the updated planting model contains quotation information corresponding to each plant; receiving a processing instruction containing an index tag sent by a user side to generate a planting task;
the user side is used for acquiring and displaying the planting model generated by the planting side in real time and receiving selection information input by a user based on the planting model; reading quotation information according to the selection information, receiving payment information of a user based on the quotation information, and determining the management authority of the user; opening a remote planting port according to the management authority, and receiving a processing instruction input by a user based on the remote planting port; the index tag of the processing instruction is determined by the selection information; and sending the processing instruction containing the index tag to a planting end.
As a further scheme of the invention: the planting end comprises:
the area segmentation module is used for receiving the planting areas and the planting information uploaded by the planting party and segmenting the planting areas according to the planting information;
the model generation module is used for acquiring personal information of a planting party, numbering each plant according to the personal information and the segmentation result and generating a planting model;
the model updating module is used for acquiring growth information of the plants at regular time and updating the planting model in real time according to the growth information; wherein, the updated planting model contains quotation information corresponding to each plant;
and the task generation module is used for receiving a processing instruction which is sent by the user side and contains the index tag and generating a planting task.
As a further scheme of the invention: the user side includes:
the selection information receiving module is used for acquiring and displaying the planting model generated by the planting end in real time and receiving selection information input by a user based on the planting model;
the authority granting module is used for reading quotation information according to the selection information, receiving payment information of a user based on the quotation information and determining the management authority of the user;
the instruction receiving module is used for opening the remote planting port according to the management authority and receiving a processing instruction input by a user based on the remote planting port; the index tag of the processing instruction is determined by the selection information;
and the instruction sending module is used for sending the processing instruction containing the index tag to a planting end.
As a further scheme of the invention: the region cutting module includes:
the area generating unit is used for receiving the point location information sent by the planting party and generating a planting area according to the point location information and a preset proportional relation; the planting area is a digital area;
the boundary adjusting unit is used for receiving boundary adjusting information sent by a planting party and correcting the planting area according to the boundary adjusting information;
the demand area reading unit is used for receiving a planting position containing a plant type input by a planting party based on the planting area and reading the demand area in a preset demand area table according to the plant type;
and the splitting execution unit is used for splitting the planting area based on the demand area.
As a further scheme of the invention: the model generation module comprises:
the label generating unit is used for acquiring personal information of a planting party and inputting the personal information into a trained encryption model to obtain a personal label;
the plant numbering unit is used for numbering the planting positions in sequence based on the personal tags;
and the first inserting unit is used for inserting the numbering result into the planting area to obtain the planting model.
As a further scheme of the invention: the model update module includes:
the image group generating unit is used for acquiring growth images of all plants at regular time according to a preset acquisition frequency to obtain a growth image group with the plant number as an index;
the mean value calculating unit is used for calculating the mean value of the color values of all the growth images in the growth image group and eliminating repeated images in the growth image group according to the mean value of the color values;
the standard image query unit is used for querying a standard image according to the acquisition time of the growing image group;
the growth vigor calculation unit is used for comparing the growth image group after the repeated images are removed with the standard image and judging the growth vigor of the plants; the plant growth vigor is a percentage value;
and the second inserting unit is used for reading and correcting the plant model according to the growth vigor of the plant and inserting the plant model.
As a further scheme of the invention: the model update module further comprises:
the abnormal level determining unit is used for comparing the growth vigor of the plants with a preset growth vigor threshold value and determining the abnormal level of the growth of the plants;
a sampling frequency determining unit for determining a data sampling frequency according to the abnormal level;
the image removing unit is used for reading the growing image in the growing image group from which the repeated image is removed according to the data sampling frequency;
and the Gif image generating unit is used for generating Gif images according to the growth images and inserting the growth images into the planting model.
As a further scheme of the invention: the model update module further comprises:
the period inquiry unit is used for reading the plant type and inquiring the standard growth period according to the plant type;
the growth proportion calculation unit is used for reading the acquisition time and the plant growth vigor of the growth image group and determining the growth proportion of the plant relative to the whole growth process according to the acquisition time, the plant growth vigor and the standard growth period of the growth image group;
and the third inserting unit is used for determining quotation information according to the growth proportion and inserting the planting model.
As a further scheme of the invention: the task generation module comprises:
the task query unit is used for receiving a processing instruction which is sent by a user side and contains an index tag, and querying a planting task in a preset instruction execution library according to the processing instruction; the instruction execution library comprises processing instruction items and task items;
the instruction list generating unit is used for recording a processing instruction sent by the user terminal in real time and generating an instruction list; the instruction list comprises a time item and an instruction item;
and the prompt information generating unit is used for inputting the instruction list into the trained recognition model, generating prompt information and sending the prompt information to the user side.
As a further scheme of the invention: the selected information in the selected information receiving module comprises keyboard and mouse information, touch screen information and voice information.
Compared with the prior art, the invention has the beneficial effects that: on one hand, the method generates a planting model according to planting information of a planting party, then obtains the growth condition of each plant in real time, determines quotation information, and updates the planting model in real time; on the other hand, the planting model is displayed for the user, and remote planting service is provided for the user based on the planting model, so that the participation degree of the user is greatly improved, the agricultural product transaction mode is greatly innovated, and the popularization and the use are convenient.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a block diagram of a planting terminal in an intelligent agricultural product transaction system based on FRID technology.
Fig. 2 is a block diagram illustrating a structure of a user side in an intelligent agricultural product transaction system based on FRID technology.
Fig. 3 is a block diagram of a structure of a region segmentation module in a planting end.
Fig. 4 is a block diagram of the structure of the model generation module in the planting end.
Fig. 5 is a block diagram of the structure of the model update module in the planting terminal.
Fig. 6 is a block diagram of the structure of the task generation module in the planting end.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
Referring to fig. 1 and fig. 2, in an embodiment of the present invention, an intelligent agricultural product transaction system based on rfid technology includes:
the planting terminal 10 is used for receiving the planting area and the planting information uploaded by a planting party and segmenting the planting area according to the planting information; acquiring personal information of a planting party, numbering each plant according to the personal information and the segmentation result, and generating a planting model; acquiring growth information of plants at regular time, and updating the planting model in real time according to the growth information; wherein, the updated planting model contains quotation information corresponding to each plant; receiving a processing instruction containing an index tag sent by a user side to generate a planting task;
the user side 20 is used for acquiring and displaying the planting model generated by the planting side in real time and receiving selection information input by a user based on the planting model; reading quotation information according to the selection information, receiving payment information of a user based on the quotation information, and determining the management authority of the user; opening a remote planting port according to the management authority, and receiving a processing instruction input by a user based on the remote planting port; the index tag of the processing instruction is determined by the selection information; and sending the processing instruction containing the index tag to a planting end.
According to the technical scheme, a remote planting platform is built, and the user side 20 can be understood as personal electronic equipment of a user, most commonly a smart phone; a user selects a certain agricultural product on the smart phone, then pays for the agricultural product, and regularly carries out remote planting, such as watering, weeding, fertilizing and the like, so that relevant workers can carry out actual work; when harvested, the agricultural product will belong to the user, and the user can enjoy the agricultural product which is always looking for growth, and can obtain both physical and mental enjoyment.
The planting terminal 10 is used as a background to generate a virtual model corresponding to the land, obtain the growth information of the plants in real time, insert the virtual model, and the user can query the virtual model through the user terminal 20 to perform remote planting.
It is worth mentioning that in the practical application process of the technical scheme of the invention, the virtual model can be generated on the basis of the above contents and on the basis of the completion of plant growth, that is, all agricultural products in the virtual model are mature quickly, and at this time, the user directly selects the agricultural products and pays for purchase.
Fig. 1 is a block diagram illustrating a structure of a planting terminal 10 in an intelligent agricultural product transaction system based on FRID technology, where the planting terminal 10 includes:
the area segmentation module 11 is used for receiving the planting areas and the planting information uploaded by the planting parties and segmenting the planting areas according to the planting information;
the model generation module 12 is used for acquiring personal information of a planting party, numbering each plant according to the personal information and the segmentation result, and generating a planting model;
the model updating module 13 is used for acquiring growth information of plants at regular time and updating the planting model in real time according to the growth information; wherein, the updated planting model contains the quotation information corresponding to each plant;
and the task generating module 14 is configured to receive a processing instruction containing an index tag sent by the user side, and generate a planting task.
The functions of the planting terminal 10 are modularly subdivided, and firstly, planting areas and planting information uploaded by a planting party are received, wherein the planting information is where to plant which kind of plant; acquiring personal information of a planting party, and numbering various plants according to the personal information, wherein the number is used for indicating the planting party to which the plants belong; then, the growth condition of the plant is obtained at regular time, namely the growth information is obtained, and the planting model can be updated; finally, a processing task may be generated by receiving a processing instruction sent by the user through the user terminal 20.
Fig. 2 is a block diagram illustrating a structure of a user terminal 20 in an intelligent agricultural product transaction system based on FRID technology, where the user terminal 20 includes:
the selection information receiving module 21 is used for acquiring and displaying the planting model generated by the planting end in real time and receiving selection information input by a user based on the planting model;
the authority granting module 22 is configured to read the offer information according to the selection information, receive payment information of the user based on the offer information, and determine the management authority of the user;
the instruction receiving module 23 is configured to open a remote planting port according to the management authority, and receive a processing instruction input by a user based on the remote planting port; the index tag of the processing instruction is determined by the selection information;
and the instruction sending module 24 is configured to send the processing instruction containing the index tag to the planting end.
The content modularly subdivides each function of the user side 20, each function of the user side 20 is conventional, the user side and the planting side 10 interact with each other, a bridge between a user and a planting party is built, and technical support is provided for a user remote planting process; these functions are very easy to implement in existing smart phones.
It is worth mentioning that the selection information includes keyboard and mouse information, touch screen information and voice information.
Fig. 3 is a block diagram of a structure of a region segmentation module 11 in the planting end 10, where the region segmentation module 11 includes:
the area generating unit 111 is configured to receive point location information sent by a planting party, and generate a planting area according to the point location information and a preset proportional relationship; the planting area is a digital area;
the point location information refers to boundary points of an area, and the boundary points are connected to obtain an area for planting, wherein the area is called a planting area in computer equipment; between the planting area and the actual area, there is a determined scale.
The boundary adjusting unit 112 is configured to receive boundary adjusting information sent by a planting party, and correct the planting area according to the boundary adjusting information;
and a plurality of boundaries can be obtained by connecting boundary points, and the actual area may not be a regular area, so that the adjusting function needs to be added, so that the planting area is more suitable for reality.
A demand area reading unit 113, configured to receive a planting position containing a plant type input by a planting party based on the planting area, and read a demand area in a preset demand area table according to the plant type;
the splitting execution unit 114 is used for splitting the planting area based on the demand area;
the planting position is a point, the areas required by different plant types are different, and the area required by one tree and one grass is greatly different; the size of the area is determined by the type of the plant, and the planting area can be cut by combining the planting position.
Fig. 4 is a block diagram illustrating the structure of the model generation module 12 in the planting end 10, wherein the model generation module 12 includes:
the label generating unit 121 is configured to obtain personal information of a planting party, and input the personal information into a trained encryption model to obtain a personal label;
a plant numbering unit 122 for numbering the planting positions in sequence based on the individual tags;
and the first inserting unit 123 is configured to insert the numbering result into the planting area to obtain a planting model.
The content is a numbering process, personal information is encrypted to obtain a personal label, a plurality of planting positions are subjected to sequencing assignment according to the personal label, and the sequencing assignment is combined and inserted into a planting area to obtain a planting model.
Fig. 5 is a block diagram illustrating the structure of the model updating module 13 in the planting terminal 10, wherein the model updating module 13 includes:
the image group generating unit 131 is configured to obtain growth images of each plant at regular time according to a preset acquisition frequency to obtain a growth image group with the plant number as an index;
the mean value calculating unit 132 is used for calculating the mean value of the color values of all the growth images in the growth image group and eliminating repeated images in the growth image group according to the mean value of the color values;
a standard image query unit 133, configured to query a standard image according to the acquisition time of the growth image group;
a growth calculation unit 134, configured to compare the growth image group from which the repeated images are removed with the standard image, and determine plant growth; the plant growth vigor is a percentage value;
and a second inserting unit 135, configured to read and modify the plant model according to the growth of the plant, and insert the plant model.
The model updating module 13 is a core function of a planting end, and the process is that firstly, a growth image of each plant is obtained to obtain a growth image group, the average value of color values of the growth image group is calculated, and then the growth image can be screened through the numerical value; the color values are typically three-dimensional data, i.e., RGB values; this process is illustrated as follows:
for a plant, tens or hundreds of images are continuously shot within one second or ten seconds, the images are growth image groups, and whether the images have repeated parts is judged by the color value mean value.
Then, the acquisition time of the growth image group can reflect that the plant grows for several months, each time is preset with some standard images, and the actual images (growth image group) and the standard images are compared, so that whether the growth state of the plant is normal or not can be judged, and whether the growth state is normal or not can be expressed by percentage.
And finally, inserting the plant growth vigor into the planting model according to the serial number.
As a preferred embodiment of the technical solution of the present invention, the model updating module 13 further includes:
the abnormal level determining unit is used for comparing the growth vigor of the plants with a preset growth vigor threshold value and determining the abnormal level of the growth of the plants;
a sampling frequency determining unit for determining a data sampling frequency according to the abnormal level;
the image removing unit is used for reading the growing image in the growing image group from which the repeated image is removed according to the data sampling frequency;
and the Gif image generating unit is used for generating Gif images according to the growth images and inserting the growth images into the planting model.
If the storage space allows, the user wants to see the real growth situation, so in an example of the technical scheme of the invention, how many images are collected and selected are determined according to the growth situation of the plant, the gif kinegram is generated according to the selected images, and the planting model is inserted.
The model update module 13 further includes:
the period inquiry unit is used for reading the plant type and inquiring the standard growth period according to the plant type;
the growth proportion calculation unit is used for reading the acquisition time and the plant growth vigor of the growth image group and determining the growth proportion of the plant relative to the whole growth process according to the acquisition time, the plant growth vigor and the standard growth cycle of the growth image group;
and the third inserting unit is used for determining quotation information according to the growth proportion and inserting the planting model.
The generation process of the quotation information is limited by the above content, the process is determined by the planting party according to market conditions, and the technical scheme of the invention is not limited.
Fig. 6 is a block diagram illustrating the structure of the task generating module 14 in the planting terminal 10, where the task generating module 14 includes:
the task query unit 141 is configured to receive a processing instruction containing an index tag sent by a user, and query a planting task in a preset instruction execution library according to the processing instruction; the instruction execution library comprises processing instruction items and task items;
an instruction table generating unit 142, configured to generate an instruction table by recording, in real time, a processing instruction sent by the user side; the instruction list comprises a time item and an instruction item;
and a prompt information generating unit 143, configured to input the instruction list into the trained recognition model, generate prompt information, and send the prompt information to the user side.
In one example of the technical solution of the present invention, the process of generating planting tasks according to instructions is defined, and we know that planting is an experience-related activity, if a user does not plant agricultural products, the instructions sent by the user are likely to be wrong, and have a negative effect, for example, watering at intervals of one hour, which is obviously abnormal; therefore, the instruction input by the user needs to be identified, the identification model is determined by the staff, and generally, a standard flow is set, and the instruction sent by the user is compared with the standard flow.
The functions that can be realized by the intelligent agricultural product transaction system based on the FRID technology are all completed by a computer device, the computer device comprises one or more processors and one or more memories, at least one program code is stored in the one or more memories, and the program code is loaded and executed by the one or more processors to realize the functions of the intelligent agricultural product transaction system based on the FRID technology.
The processor fetches instructions and analyzes the instructions one by one from the memory, then completes corresponding operations according to the instruction requirements, generates a series of control commands, enables all parts of the computer to automatically, continuously and coordinately act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) which is used for storing computer programs, and a protection device is arranged outside the Memory.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
It will be appreciated by those skilled in the art that the above description of the serving device is merely an example and does not constitute a limitation of the terminal device, and may include more or less components than those described above, or some of the components may be combined, or different components may include, for example, input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by operating or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs (such as an information acquisition template display function, a product information publishing function and the like) required by at least one function and the like; the storage data area may store data created according to the use of the berth status display system (such as product information acquisition templates corresponding to different product categories, product information that needs to be issued by different product providers, and the like). In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the modules/units in the system according to the above embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used by a processor to implement the functions of the embodiments of the system. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a component of' 8230; \8230;" does not exclude the presence of another like element in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes performed by the present invention or directly or indirectly applied to other related technical fields are also included in the scope of the present invention.
Claims (10)
1. An intelligent agricultural product transaction system based on FRID technology, the system comprising:
the planting terminal is used for receiving the planting area and the planting information uploaded by the planting party and segmenting the planting area according to the planting information; acquiring personal information of a planting party, numbering each plant according to the personal information and the segmentation result, and generating a planting model; the method comprises the steps of obtaining growth information of plants at regular time, and updating a planting model in real time according to the growth information; wherein, the updated planting model contains the quotation information corresponding to each plant; receiving a processing instruction containing an index tag sent by a user side, and generating a planting task;
the user side is used for acquiring and displaying the planting model generated by the planting side in real time and receiving selection information input by a user based on the planting model; reading quotation information according to the selection information, receiving payment information of a user based on the quotation information, and determining the management authority of the user; opening a remote planting port according to the management authority, and receiving a processing instruction input by a user based on the remote planting port; the index tag of the processing instruction is determined by the selection information; and sending the processing instruction containing the index tag to a planting end.
2. The FRID technology-based intelligent agricultural product transaction system of claim 1, wherein the planting end comprises:
the area segmentation module is used for receiving the planting areas and the planting information uploaded by the planting party and segmenting the planting areas according to the planting information;
the model generation module is used for acquiring personal information of a planting party, numbering each plant according to the personal information and the segmentation result and generating a planting model;
the model updating module is used for acquiring growth information of the plants at regular time and updating the planting model in real time according to the growth information; wherein, the updated planting model contains quotation information corresponding to each plant;
and the task generating module is used for receiving a processing instruction which contains the index tag and is sent by the user side and generating a planting task.
3. The FRID technology-based intelligent agricultural product transaction system of claim 1, wherein the user side comprises:
the selection information receiving module is used for acquiring and displaying the planting model generated by the planting end in real time and receiving selection information input by a user based on the planting model;
the authority granting module is used for reading quotation information according to the selection information, receiving payment information of a user based on the quotation information and determining the management authority of the user;
the instruction receiving module is used for opening the remote planting port according to the management authority and receiving a processing instruction input by a user based on the remote planting port; the index tag of the processing instruction is determined by the selection information;
and the instruction sending module is used for sending the processing instruction containing the index tag to a planting end.
4. The intelligent agricultural product transaction system based on FRID technology of claim 2, wherein the zone cutting module comprises:
the area generating unit is used for receiving the point location information sent by the planting party and generating a planting area according to the point location information and a preset proportional relation; the planting area is a digital area;
the boundary adjusting unit is used for receiving boundary adjusting information sent by a planting party and correcting the planting area according to the boundary adjusting information;
the demand area reading unit is used for receiving a planting position containing a plant type input by a planting party based on the planting area and reading the demand area in a preset demand area table according to the plant type;
and the segmentation execution unit is used for segmenting the planting area based on the demand area.
5. The FRID technology-based intelligent agricultural product transaction system of claim 1, wherein the model generation module comprises:
the label generating unit is used for acquiring personal information of a planting party and inputting the personal information into a trained encryption model to obtain a personal label;
the plant numbering unit is used for numbering the planting positions in sequence based on the personal tags;
and the first inserting unit is used for inserting the numbering result into the planting area to obtain the planting model.
6. The intelligent agricultural product transaction system based on FRID technology of claim 4, wherein the model update module comprises:
the image group generating unit is used for acquiring growth images of all plants at regular time according to a preset acquisition frequency to obtain a growth image group with the plant number as an index;
the mean value calculating unit is used for calculating the mean value of the color values of all the growth images in the growth image group and eliminating repeated images in the growth image group according to the mean value of the color values;
the standard image query unit is used for querying a standard image according to the acquisition time of the growth image group;
the growth vigor calculation unit is used for comparing the growth image group after the repeated images are removed with the standard image and judging the growth vigor of the plants; the plant growth vigor is a percentage value;
and the second inserting unit is used for reading and correcting the plant model according to the growth vigor of the plant and inserting the plant model.
7. The intelligent agricultural product transaction system based on FRID technology of claim 6, wherein the model update module further comprises:
the abnormal level determining unit is used for comparing the plant growth with a preset growth threshold value and determining the abnormal level of the plant growth;
a sampling frequency determining unit for determining a data sampling frequency according to the abnormal level;
the image removing unit is used for reading the growing image in the growing image group from which the repeated image is removed according to the data sampling frequency;
and the Gif image generating unit is used for generating Gif images according to the growth images and inserting the growth images into the planting model.
8. The FRID technology based intelligent agricultural product transaction system of claim 6, wherein the model update module further comprises:
the period inquiry unit is used for reading the plant type and inquiring the standard growth period according to the plant type;
the growth proportion calculation unit is used for reading the acquisition time and the plant growth vigor of the growth image group and determining the growth proportion of the plant relative to the whole growth process according to the acquisition time, the plant growth vigor and the standard growth period of the growth image group;
and the third inserting unit is used for determining quotation information according to the growth proportion and inserting the planting model.
9. The intelligent agricultural product transaction system based on FRID technology of claim 2, wherein the task generation module comprises:
the task query unit is used for receiving a processing instruction which is sent by a user side and contains an index tag, and querying a planting task in a preset instruction execution library according to the processing instruction; the instruction execution library comprises processing instruction items and task items;
the instruction list generating unit is used for recording a processing instruction sent by the user terminal in real time and generating an instruction list; the instruction list comprises a time item and an instruction item;
and the prompt information generating unit is used for inputting the instruction list into the trained recognition model, generating prompt information and sending the prompt information to the user side.
10. The intelligent FRID technology based agricultural product transaction system of claim 3, wherein the selection information in the selection information receiving module comprises keyboard and mouse information, touch screen information and voice information.
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